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Meta Llama 3 8B Instruct GPTQ by nm-testing

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  4-bit   Autotrain compatible   Conversational   Gptq   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nm-testing/Meta-Llama-3-8B-Instruct-GPTQ 

Meta Llama 3 8B Instruct GPTQ Benchmarks

ARC: 59.64 vs 96.7 (so35)-38.3%
HellaSwag: 78.84 vs 95.3 (gpt4)-17.3%
MMLU: 65.06 vs 88.3 (so35)-26.3%
TruthfulQA: 50.17 vs 59 (gpt4)-15%
WinoGrande: 74.98 vs 87.5 (gpt4)-14.3%
GSM8K: 57.32 vs 96.4 (so35)-40.5%
LLME Score: 0.21998
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 8B Instruct GPTQ (nm-testing/Meta-Llama-3-8B-Instruct-GPTQ)

Meta Llama 3 8B Instruct GPTQ Parameters and Internals

Model Type 
text generation, inference model
Additional Notes 
This model includes 4-bit quantization using GPTQ, optimized for specific benchmarks and evaluations.
LLM NameMeta Llama 3 8B Instruct GPTQ
Repository 🤗https://huggingface.co/nm-testing/Meta-Llama-3-8B-Instruct-GPTQ 
Base Model(s)  ...eta Llama 3 8B Instruct FP8 KV   neuralmagic/Meta-Llama-3-8B-Instruct-FP8-KV
Model Size8b
Required VRAM5.8 GB
Updated2024-12-23
Maintainernm-testing
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than nm-testing/Meta-Llama-3-8B-Instruct-GPTQ.

Rank the Meta Llama 3 8B Instruct GPTQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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